Meat — Residuals by country
A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply...
What the numbers show
Meat — Residuals is currently reported for 117 countries. The highest value is 16 1000 t in Guatemala; the lowest is -495 1000 t in China.
The median across all reporting countries is 0 1000 t, and the mean is -12.24 1000 t.
Over the past decade 20 countries rose and 30 fell. The largest increase was in Belarus (up 100.0%), and the largest decrease in Pakistan (down 700.0%).
Meat — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Guatemala | 16 1000 t | 2023 | — | volatile |
| 2 | Albania | 0 1000 t | 2023 | — | volatile |
| 2 | Argentina | 0 1000 t | 2023 | — | volatile |
| 2 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 2 | Austria | 0 1000 t | 2023 | — | volatile |
| 2 | Azerbaijan | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | volatile |
| 2 | Belarus | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Belize | 0 1000 t | 2023 | — | volatile |
| 2 | Brazil | 0 1000 t | 2023 | — | volatile |
| 2 | Barbados | 0 1000 t | 2023 | — | volatile |
| 2 | Botswana | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Canada | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Switzerland | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | Chile | 0 1000 t | 2023 | — | volatile |
| 2 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 2 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 2 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 2 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 2 | Algeria | 0 1000 t | 2023 | — | volatile |
| 2 | Egypt | 0 1000 t | 2023 | — | volatile |
| 2 | Estonia | 0 1000 t | 2023 | — | volatile |
| 2 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 2 | Fiji | 0 1000 t | 2023 | — | volatile |
| 2 | United Kingdom | 0 1000 t | 2023 | — | volatile |
| 2 | Georgia | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | Guyana | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | Iceland | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Israel | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 2 | Jordan | 0 1000 t | 2023 | — | volatile |
| 2 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 2 | Kenya | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Kyrgyzstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | Kuwait | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Lebanon | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 2 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 2 | Latvia | 0 1000 t | 2023 | — | volatile |
| 2 | Maldives | 0 1000 t | 2023 | — | volatile |
| 2 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 2 | Malawi | 0 1000 t | 2023 | — | volatile |
| 2 | Namibia | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | New Caledonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 2 | Oman | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | Panama | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | Peru | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Philippines | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Portugal | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 2 | Rwanda | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Senegal | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Serbia | 0 1000 t | 2023 | — | volatile |
| 2 | Suriname | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | Slovakia | 0 1000 t | 2023 | — | volatile |
| 2 | Seychelles | 0 1000 t | 2023 | — | volatile |
| 2 | Syria | 0 1000 t | 2023 | — | volatile |
| 2 | Tunisia | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | Uganda | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | South Africa | 0 1000 t | 2023 | up 100.0% | volatile |
| 2 | Zimbabwe | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | Melanesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 2 | Polynesia | 0 1000 t | 2023 | — | volatile |
| 2 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 2 | Republic of Korea | 0 1000 t | 2023 | — | volatile |
| 2 | Syrian Arab Republic | 0 1000 t | 2023 | — | volatile |
| 2 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 2 | China, Taiwan Province of | 0 1000 t | 2023 | — | volatile |
| 2 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | volatile |
| 149 | Bangladesh | -1 1000 t | 2023 | — | volatile |
| 149 | Bulgaria | -1 1000 t | 2023 | unchanged | volatile |
| 149 | Germany | -1 1000 t | 2023 | — | volatile |
| 149 | Denmark | -1 1000 t | 2023 | down 100.7% | volatile |
| 149 | Lithuania | -1 1000 t | 2023 | — | volatile |
| 149 | Morocco | -1 1000 t | 2023 | — | volatile |
| 149 | North Macedonia | -1 1000 t | 2023 | — | volatile |
| 149 | Myanmar | -1 1000 t | 2023 | — | volatile |
| 149 | New Zealand | -1 1000 t | 2023 | — | volatile |
| 149 | Saudi Arabia | -1 1000 t | 2023 | unchanged | volatile |
| 149 | Vietnam | -1 1000 t | 2023 | — | volatile |
| 149 | Zambia | -1 1000 t | 2023 | — | volatile |
| 149 | China, Hong Kong SAR | -1 1000 t | 2023 | — | volatile |
| 149 | Iran (Islamic Republic of) | -1 1000 t | 2023 | up 83.3% | volatile |
| 149 | Viet Nam | -1 1000 t | 2023 | — | volatile |
| 164 | India | -2 1000 t | 2023 | up 33.3% | volatile |
| 164 | Malaysia | -2 1000 t | 2023 | unchanged | volatile |
| 166 | Sweden | -3 1000 t | 2023 | — | volatile |
| 166 | Uruguay | -3 1000 t | 2023 | — | volatile |
| 166 | United States | -3 1000 t | 2023 | up 96.5% | volatile |
| 169 | Hungary | -4 1000 t | 2023 | up 78.9% | volatile |
| 169 | Italy | -4 1000 t | 2023 | down 300.0% | volatile |
| 169 | Norway | -4 1000 t | 2023 | down 130.8% | volatile |
| 169 | Paraguay | -4 1000 t | 2023 | — | volatile |
| 173 | Australia | -5 1000 t | 2023 | down 145.5% | volatile |
| 173 | Indonesia | -5 1000 t | 2023 | up 28.6% | rising |
| 175 | Romania | -6 1000 t | 2023 | down 500.0% | volatile |
| 176 | Australia and New Zealand | -7 1000 t | 2023 | down 163.6% | volatile |
| 177 | Belgium | -8 1000 t | 2023 | — | volatile |
| 177 | Pakistan | -8 1000 t | 2023 | down 700.0% | volatile |
| 179 | Czechia | -10 1000 t | 2023 | — | volatile |
| 179 | Ukraine | -10 1000 t | 2023 | — | volatile |
| 181 | Slovenia | -14 1000 t | 2023 | — | volatile |
| 181 | Netherlands (Kingdom of the) | -14 1000 t | 2023 | — | volatile |
| 183 | France | -15 1000 t | 2023 | — | volatile |
| 184 | Russia | -20 1000 t | 2023 | — | volatile |
| 184 | Russian Federation | -20 1000 t | 2023 | — | volatile |
| 186 | Spain | -23 1000 t | 2023 | up 72.0% | volatile |
| 187 | Ireland | -25 1000 t | 2023 | down 150.0% | volatile |
| 188 | United Arab Emirates | -31 1000 t | 2023 | down 342.9% | volatile |
| 189 | Turkey | -34 1000 t | 2023 | down 88.9% | falling |
| 189 | Türkiye | -34 1000 t | 2023 | down 88.9% | falling |
| 191 | Poland | -51 1000 t | 2023 | down 131.8% | volatile |
| 192 | Thailand | -75 1000 t | 2023 | down 74.4% | volatile |
| 193 | China, mainland | -494 1000 t | 2023 | down 24.7% | falling |
| 194 | China | -495 1000 t | 2023 | down 25.0% | falling |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Central America 16 1000 t
- Americas 5 1000 t
- Central Asia 0 1000 t
- Southern Africa 0 1000 t
- Middle Africa 0 1000 t
- Small island developing States (SIDS) -1 1000 t
- Eastern Africa -1 1000 t
- Northern Africa -1 1000 t
- Western Africa -1 1000 t
- Low Income Food Deficit Countries (LIFDCs) -1 1000 t
- Northern America -3 1000 t
- Least Developed Countries (LDCs) -3 1000 t
- United States of America -3 1000 t
- Africa -4 1000 t
- Land Locked Developing Countries (LLDCs) -6 1000 t
- Oceania -7 1000 t
- South America -8 1000 t
- Southern Asia -11 1000 t
- Net Food Importing Developing Countries (NFIDCs) -13 1000 t
- Northern Europe -34 1000 t
- Western Europe -38 1000 t
- Southern Europe -42 1000 t
- Western Asia -66 1000 t
- South-Eastern Asia -85 1000 t
- Eastern Europe -102 1000 t
- European Union (27) -182 1000 t
- Europe -217 1000 t
- Eastern Asia -495 1000 t
- Asia -657 1000 t
- World -880 1000 t
About this data
A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per capita food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.